Intro
Weather Source offers a comprehensive product suite of hyper-local global weather data for business intelligence and analytics, covering past, present, and forecast conditions. By using the Domo Weather Source Connector, you can easily access collated and actionable data for any location on any landmass in the world and up to 200 miles offshore. With the Weather Source Domo Connector, you can access both hourly and daily forecasts, historical weather data, climatology, and astronomy data. Historical data ranges from 2000 to the present, while forecast data provides a forward view of up to 384 hours or up to 15 days. In addition, you can also access climatology data that provides means, standard deviations, and other statistics that collectively describe the typical or normal weather for a location and time of the year. Climatology data can be used to quantify what to expect for weather at locations of interest and specific times of the year. It can also be used to understand how recent conditions or forecasted conditions may be departing from normal (i.e., weather anomalies) and statistically how rare or unusual the weather anomalies are. Unlike many providers that rely solely on data from a single weather sensing input (i.e., airport reporting stations) and then extend this data to their locations of interest using simple interpolation methods, Weather Source approaches weather in a markedly different way. First, we start with a high-resolution grid covering every landmass in the world and up to 200 miles offshore, and at each one of our millions of global grid points (i.e., OnPoint ID), we ingest all the best weather sensing technologies, including satellite, radar, IoT and airport observation stations and unify all of these inputs into a homogenized and statistically consistent “single source of truth.” From these grid points, we then map to any location of interest including precise lat/lon or geographically bounded areas such as ZIP or Postal Code, DMA, census block or tract, etc. Customers utilize Weather Source data to quantify the impact of weather and climate on their business key performance indicators (KPIs). This generates valuable intelligence and insights related to crucial factors such as footfall traffic, product sales and forecasts, energy demand and consumption, marketing and advertising, logistics and supply chain, risk mitigation, and more. The Weather Source Domo Connector provides data that supports 21 weather parameters, including but not limited to temperature, humidity, precipitation, snowfall, wind, pressure, freezing rain, cloud cover, and more. Climatology data includes all of the same supported weather parameters but also includes standard deviations and frequency of occurrence data. Astronomy data includes sun and moon azimuth, distance, elevation, and more. To learn more about Weather Source and our products and services, visit our website at www.weathersource.com. To learn more about the Weather Source API, visit our page (https://developer.Weather Source.com/documentation/). Below is a summary of available products in the Weather Source API via the Domo Connector: OnPoint Forecast The standard OnPoint Forecast data is based on the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS). The OnPoint Forecast utilizes the GFS model and is processed by Weather Source and then staged on our OnPoint Grid for statistical consistency with our other datasets. The GFS-based OnPoint Forecast currently provides a forecast of 384 hours or up to 15 days in a daily format. This data is fully refreshed every six hours. OnPoint Historical Data OnPoint Weather’s historical data provides hourly and daily weather values spanning from the year 2000 to the present. This database is a stable source of historical information. Weather Source uses a variety of state-of-the-art data sources to produce a blended and accurate history product. Climatology Climatology provides the mean, standard deviation, and other statistics that collectively describe the typical or normal weather for a location and time of the year. OnPoint Climatology can be used to quantify what to expect for weather at locations of interest and specific times of the year. It can also be used to understand how recent conditions or forecasted conditions may be departing from normal (i.e., weather anomalies) and statistically how rare or unusual the weather anomalies are. Climatology also includes frequency of occurrence insights that reveal how often certain conditions occur at your location of interest. This information is extremely useful for business and resource planning and can also be used as a long-range forecasting tool. Astronomy Weather Source’s Astronomy dataset includes daily and hourly astronomical data including sunrise, sunset, and azimuth of the sun information. Additional Products available via Weather Source’s API (soon to be available via the Domo Connector): ECMWF Weather Source offers the best-in-class European Centre for Medium-Range Weather Forecasts (ECMWF) data. ECMWF data is regarded as the most reliable model currently in existence and is frequently referred to as the “euro” model.- ECMWF Forecast We offer European Centre for Medium-Range Weather Forecasts (ECMWF) data. This includes the ECMWF forecast of up to 240 hours in hourly format and up to a 15-day forecast in daily format. In addition, we also have a sub-seasonal forecast that is delivered in daily views going out up to 46 days. Additionally, the ECMWF Seasonal Forecast provides a monthly view forecast for the next seven months.
- ECMWF Vertically Adjusted Forecast This is the same ECMWF forecast but with the addition of Dynamic Elevation Adjustment. The concept of elevation adjustment is unique to Weather Source. Weather Source’s Dynamic Elevation Adjustment applies true meteorological modeling to accurately adjust for terrain variations. With the addition of Dynamic Elevation Adjustment Weather Source is now able to dynamically resolve differences in elevation between the elevation of a location of interest and the elevation of the interpolating weather inputs. DEA is available in the HRRR and ECMWF deterministic models for hourly data only.
- ECMWF Air Quality Forecast The Air Quality Forecast is provided in both daily and hourly formats. The hourly forecast is up to five days out from the current day and the daily forecast goes out up to four days out from the current day.
- HRRR Forecast
- HRRR Vertical Forecast
Primary Use Cases | This connector is useful for obtaining industry-leading past, present, and forecast hyper-local global weather data as well as climatology and astronomy for any point in the world or geographically bounded areas such as ZIP or Postal Codes, lat/lon, DMA, or OnPoint ID. |
Primary Metrics | N/A |
Primary Company Roles |
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Average Implementation Time | ~10 minutes |
Ease of Use (on a 1-to-10 scale with 1 being easiest) | 2 |
Prerequisites
To connect to your Weather Source account and create a DataSet, you must have a Weather Source API key. An API key is generated for you when you sign up for a Weather Source account. Get started here.Connecting to Your Weather Source Account
This section enumerates the options in the Credentials and Details panes on the Weather Source Connector page. The components of the other panes on this page, Scheduling, and Name & Describe Your DataSet, are universal across most connector types and are discussed in great detail in Adding a DataSet Using a Data Connector. Instructions for usage:- Add the Weather Source API key to the Domo Connector.
- Choose the dataset you would like to work with.
- Select the granularity.
- Receive your data in a worksheet.
Credentials Pane
This pane contains fields for entering credentials to connect to your Weather Source account. The following table describes what is needed for each field:| Field | Description |
|---|---|
| API Key | Enter your Weather Source API key. You receive an API key when you sign up for a Weather Source account. |
Details Pane
This pane contains a primary Reports menu, along with various other menus which may or may not appear depending on the report type you select.Menu | Description | ||||||||||||||||||||||||||||||||||||
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Report | Select the Weather Source report you want to run. The following reports are available:
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| Enter Latitude Location | Enter the latitude for the location you want to see data for. This should be a decimal latitude value between 0 and 90. For example, 32.7153 | ||||||||||||||||||||||||||||||||||||
| Enter Longitude Location | Enter the longitude for the location you want to see data for. This should be a decimal longitude value between -180 (West) and 180 (East). For example: -117.5134 | ||||||||||||||||||||||||||||||||||||
| Period to Use | Specify whether you want data in your report to be broken down by hour or day. | ||||||||||||||||||||||||||||||||||||
| Start Date | Select the start date for the data you want to see in your report. | ||||||||||||||||||||||||||||||||||||
| End Date | Select the end date for the data you want to see in your report. | ||||||||||||||||||||||||||||||||||||
| Select Country | Select the country you want to return data for. | ||||||||||||||||||||||||||||||||||||
| Enter Zip Code | Enter a comma-delimited list of the ZIP codes you would like to use. Partial US ZIP codes are allowed, which will be expanded to include all US ZIP codes beginning with that partial ZIP code. |